{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b2dcdab9",
   "metadata": {},
   "source": [
    "## Evaluating Factor Turnover"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2078aa59",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6b949a2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import alphalens\n",
    "import pandas as pd\n",
    "from alphalens.performance import factor_rank_autocorrelation, quantile_turnover\n",
    "from alphalens.plotting import plot_factor_rank_auto_correlation\n",
    "from alphalens.utils import get_clean_factor_and_forward_returns\n",
    "from IPython.display import Markdown, display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "deea25dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46cede8a",
   "metadata": {},
   "source": [
    "Load the mean reversion data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "335b2555",
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_reversion = pd.read_pickle(\"mean_reversion.pickle\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4718bb6f",
   "metadata": {},
   "source": [
    "Construct a dataframe with symbols in the columns and dates in the rows for prices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ca9d02fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "prices = pd.concat(\n",
    "    [df.to_frame(d) for d, df in mean_reversion.prices.dropna().items()], axis=1\n",
    ").T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1edb501e",
   "metadata": {},
   "source": [
    "Convert column names to strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "980b98ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "prices.columns = [col.symbol for col in prices.columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c98286f6",
   "metadata": {},
   "source": [
    "Normalize Timestamp to midnight, preserving tz information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4f3608dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "prices.index = prices.index.normalize()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f946a59",
   "metadata": {},
   "source": [
    "Construct a dataframe with symbols in the columns and factor rank in the rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5d73c644",
   "metadata": {},
   "outputs": [],
   "source": [
    "factor_data = pd.concat(\n",
    "    [df.to_frame(d) for d, df in mean_reversion.factor_data.dropna().items()], axis=1\n",
    ").T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1d04134",
   "metadata": {},
   "source": [
    "Convert column names to strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "22d82167",
   "metadata": {},
   "outputs": [],
   "source": [
    "factor_data.columns = [col.symbol for col in factor_data.columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b7ddd9b",
   "metadata": {},
   "source": [
    "Normalize Timestamp to midnight, preserving tz information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7a25a28e",
   "metadata": {},
   "outputs": [],
   "source": [
    "factor_data.index = factor_data.index.normalize()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f58df5e3",
   "metadata": {},
   "source": [
    "Create a multiindex with date in level 0 and symbol in level 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "178c1a8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "factor_data = factor_data.stack()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f4f0fc2",
   "metadata": {},
   "source": [
    "Rename the multiindexes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b26a53a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "factor_data.index.names = [\"date\", \"asset\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37978893",
   "metadata": {},
   "source": [
    "Compile the forward returns, factor rank, and factor quantile using Alphalens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "176953ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dropped 12.5% entries from factor data: 12.5% in forward returns computation and 0.0% in binning phase (set max_loss=0 to see potentially suppressed Exceptions).\n",
      "max_loss is 35.0%, not exceeded: OK!\n"
     ]
    }
   ],
   "source": [
    "alphalens_data = get_clean_factor_and_forward_returns(\n",
    "    factor=factor_data, prices=prices, periods=(5, 10, 21, 63)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17475dd8",
   "metadata": {},
   "source": [
    "Calculate and display quantile turnover"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f1f597a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date\n",
       "2016-01-04 00:00:00+00:00         NaN\n",
       "2016-01-05 00:00:00+00:00    0.000000\n",
       "2016-01-06 00:00:00+00:00    0.000000\n",
       "2016-01-07 00:00:00+00:00    0.000000\n",
       "2016-01-08 00:00:00+00:00    0.000000\n",
       "                               ...   \n",
       "2017-09-25 00:00:00+00:00    0.030303\n",
       "2017-09-26 00:00:00+00:00    0.000000\n",
       "2017-09-27 00:00:00+00:00    0.000000\n",
       "2017-09-28 00:00:00+00:00    0.000000\n",
       "2017-09-29 00:00:00+00:00    0.000000\n",
       "Freq: C, Name: 1, Length: 440, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "turnover = quantile_turnover(alphalens_data, quantile=1)\n",
    "display(turnover)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f427e32",
   "metadata": {},
   "source": [
    "Plot the mean quantile turnover per month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3af48a6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='date'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "turnover.resample(\"M\").mean().to_period(\"M\").plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4f20748",
   "metadata": {},
   "source": [
    "Calculate and display factor rank autocorrelation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "49366c04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date\n",
       "2016-01-04 00:00:00+00:00         NaN\n",
       "2016-01-05 00:00:00+00:00    1.000000\n",
       "2016-01-06 00:00:00+00:00    1.000000\n",
       "2016-01-07 00:00:00+00:00    1.000000\n",
       "2016-01-08 00:00:00+00:00    1.000000\n",
       "                               ...   \n",
       "2017-09-25 00:00:00+00:00    0.787847\n",
       "2017-09-26 00:00:00+00:00    1.000000\n",
       "2017-09-27 00:00:00+00:00    1.000000\n",
       "2017-09-28 00:00:00+00:00    1.000000\n",
       "2017-09-29 00:00:00+00:00    1.000000\n",
       "Freq: C, Name: 1, Length: 440, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "factor_ac = factor_rank_autocorrelation(alphalens_data)\n",
    "display(factor_ac)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a41e2d2",
   "metadata": {},
   "source": [
    "Plot the factor rank autocorrelation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5d450b02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': '1D Period Factor Rank Autocorrelation'}, ylabel='Autocorrelation Coefficient'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_factor_rank_auto_correlation(factor_ac)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1bb5545",
   "metadata": {},
   "source": [
    "**Jason Strimpel** is the founder of <a href='https://pyquantnews.com/'>PyQuant News</a> and co-founder of <a href='https://www.tradeblotter.io/'>Trade Blotter</a>. His career in algorithmic trading spans 20+ years. He previously traded for a Chicago-based hedge fund, was a risk manager at JPMorgan, and managed production risk technology for an energy derivatives trading firm in London. In Singapore, he served as APAC CIO for an agricultural trading firm and built the data science team for a global metals trading firm. Jason holds degrees in Finance and Economics and a Master's in Quantitative Finance from the Illinois Institute of Technology. His career spans America, Europe, and Asia. He shares his expertise through the <a href='https://pyquantnews.com/subscribe-to-the-pyquant-newsletter/'>PyQuant Newsletter</a>, social media, and has taught over 1,000+ algorithmic trading with Python in his popular course **<a href='https://gettingstartedwithpythonforquantfinance.com/'>Getting Started With Python for Quant Finance</a>**. All code is for educational purposes only. Nothing provided here is financial advise. Use at your own risk."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b38b205-0f2e-4265-be03-7c2560c467f0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "jupytext": {
   "cell_metadata_filter": "-all",
   "main_language": "python",
   "notebook_metadata_filter": "-all"
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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